Job Information Job Title: Autonomous Perception System Reliability Postdoctoral Research Associate Org: Energy Storage & Advanced VehiclesContact: Delisa.Rogers@inl.govWork Location: Idaho Falls, ID (Town) Mission/Vision Statement Empowering the Nation's Energy Future Mission: Discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure. Vision: INL will change the world's energy future and secure our critical infrastructure.Responsibilities The transportation sector is on the verge of dramatic change. Rapid technology development and evolving consumer preferences are enabling market penetration of autonomous, connected, electric, and shared (ACES) mobility. Proliferation of these technologies has the potential to significantly alter how people travel, how goods are shipped, and how the transportation sector consumes energy.Idaho National Laboratory's (INL's) Advanced Vehicles Group is researching future charging infrastructure needs of ACES mobility and the integration of that infrastructure with the electric grid. Building on a decade of research on light-duty electric vehicles and their demand for charging, the group has expanded its scope to study how the electrification and automation of a wide array of vehicle types will affect charging infrastructure and impact the grid. Future electric vehicles, from aerial drones and automated package delivery vehicles to automated electric passenger cars, buses and long-haul trucks, will have distinct operating profiles that, in many cases, will demand extremely high-power charging. Charging these vehicles will present unique and significant challenges to energy infrastructure.Additionally, ACES mobility introduces new cybersecurity risks to vehicles and connected infrastructure. The Advanced Vehicles Group and its partners assess cybersecurity vulnerabilities and subsequent risks introduced by connected vehicles and charging infrastructure. They are also researching added challenges introduced by vehicle automation that risk safe vehicle operation and charging. To address new challenges brought on by ACES mobility, the Advanced Vehicles Group and its partners perform targeted experimentation and field evaluation, data analytics, model creation and validation, and simulation to predict the driving and charging needs of the future transportation ecosystem. They use these processes and tools to develop strategies to integrate electric vehicles with the grid, co-optimize charging and vehicle operation to maximize battery life, and mitigate cybersecurity risk. In order to rapidly accelerate this important research, INL's Advanced Vehicles Group is seeking an Autonomous Perception System Reliability Postdoctoral Research Associate to conduct specialized research in verification and validation for automated vehicle perception systems. In this role, you will investigate the robustness of machine learning algorithms in autonomous vehicle perception systems under real-world dynamic environment. You will work closely with PIs and other senior researchers to perform the following: • Build perception system validation platform in hardware using cameras, LiDAR, etc. • Design a validation plan and collect real-world data using the perception system platform• Investigate the cutting-edge perception algorithms and verify their reliability using the collected data under dynamic, real-world conditions• Study methodologies to improve the reliability and robustness of the perception system QualificationsQualified candidates will meet the following criteria:• PhD requirements must be completed by commencement of appointment and within the previous 5 years • Hold a PhD in physics, electrical engineering, computer engineering, computer science or related discipline with research experience in automated systems perception algorithms and systems• Demonstrated oral and published written communication skills in EnglishSpecial Requirements and/or Training:The ideal candidate will meet the following criteria:• Hands-on experience with systems for computer vision, Lidar processing, and/or sensor fusion • Experience with deep learning and its applications on autonomous vehicle perception systems• Expert proficiency with programming languages such as C, C or Python• Experience with deep learning on GPU systems Selective Service Requirements To be eligible for employment at INL males between ages 18 and 25 must register (or must have registered) with the Selective Service System (SSS). This includes U.S. born and naturalized citizens, parolees, undocumented immigrants, legal permanent residents, asylum seekers, refugees, and all males with visas of any kind which expired more than 30 days ago. The few individuals who are exempt from this requirement are those on current non-immigrant visas. For more information see www.sss.gov.Employee Job Functions Employee Job Functions are physical actions and/or working conditions associated with the position. These functions may also constitute essential functions for the job position which the employee must be able to fulfill, with or without accommodation. Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations. An applicant's ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards. Prolonged standing; Fine motor control (hands); Repetitive work; Near vision; Basic color discrimination; Ability to smell; Machine/electrical hazard; Motor vehicle use; Typing/keyboard; Working > 8 hrs./day; Overtime/irregular hours.Please Apply Before: 06/15/2018 (Midnight MST). Environmental, Safety and Health Statement Must be familiar with, and comply with all relevant health and safety requirements. Must be knowledgeable of emergency action policies and procedures, methods for reporting/resolving work practices or conditions to available cognizant professionals.Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.INL Overview INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 4,300 scientists, researchers and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and develop technologies that underpin the nation's nuclear and renewable energy, national security and environmental missions. The Idaho Falls Area Idaho Falls is conveniently situated near many national treasures such as Yellowstone National Park, Teton National Park, Jackson, WY, etc. For more information about the area, please visit www.visitidahofalls.com and www.visitidaho.org.Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Company info

Idaho National LaboratoryWebsite : http://inl.gov

Company Profile
INL is the nation’s leading center for nuclear energy research and development. INL works in each of the strategic goal areas of DOE: energy, national security, science and environment.